Construction of a prognostic model and multidimensional analysis of hepatocellular carcinoma based on palmitoylation-related genes.

ABSTRACT:

Purpose

This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses.

Methods

The research integrated single-cell transcriptome data (GSE189903) with bulk transcriptome data (TCGA-LIHC, GEO datasets), focusing on palmitoylation-related genes in HCC epithelial cells. The scAB deconvolution algorithm was used to analyze the association between epithelial cell subsets and patient survival, and hdWGCNA was combined to construct a gene co-expression network. Through differential expression analysis, univariate Cox regression, and LASSO penalized regression, 7 key genes (SERPINE1, FMO3, ALDH2, CPS1, SLCO1B1, ACAT1, ACADS) were identified to build a pr

SUBMITTER: Zhang H 

PROVIDER: S-EPMC12873020 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature